Data Architect

Techdome · IT Services & Consulting

Hyderabad, India
On-site
Posted today
Data & AI

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About the job

Experience: 5+

About Techdome

Techdome Solutions Pvt. Ltd. is a technology consultancy and product engineering company founded in 2020 and headquartered in Indore. We design, build and run AI-powered, cloud-native platforms across data engineering, machine learning, cloud, automation, CRM and enterprise platforms. Our own products include JustInterview.ai and Catalyst ERP, and we serve clients from startups to large enterprises worldwide.

Why join us: Work on global client programs and our own products, a fast-growing team, ownership from day one, and recognition as Madhya Pradesh Best Employer Brand 2026.

Job Details

Experience: 5–12 years

Notice Period: Immediate joiners (0–15 days) only

Locations: Hyderabad, Indore, Noida, Delhi, Mumbai

Employment Type: Full-time, permanent

Work Mode : Work from office

Education : B.E./B.Tech/MCA or equivalent in Computer Science, IT or a related field

How to Apply : Share your updated CV with current CTC, expected CTC and notice period / last working day.

We are looking for a Data Architect to design and own modern, scalable data platforms for our enterprise clients, from data strategy and modelling through to cloud implementation and governance.

Key Responsibilities:

Define end-to-end data architecture: ingestion, storage, processing, serving and analytics layers.

Design data lakes, lakehouses and warehouses on Azure, AWS or GCP (Snowflake, Databricks, Synapse, BigQuery, Redshift).

Build conceptual, logical and physical data models (dimensional, Data Vault, 3NF).

Set standards for data quality, metadata, lineage, security and governance (Unity Catalog, Purview, Collibra).

Lead architecture reviews, technology selection and cost/performance optimisation.

Guide data engineering teams and work with business stakeholders to turn requirements into solutions.

Support pre-sales: solution proposals, effort estimates and client presentations.

Required Skills:

5+ years in data engineering/architecture, with at least 2–3 years in an architect role.

Strong hands-on experience with Snowflake and/or Databricks, plus one major cloud platform.

Expert SQL and data modelling; working knowledge of Python or Scala and Spark.

Experience with ETL/ELT tools such as ADF, dbt, Informatica, Matillion or Glue.

Solid understanding of data governance, security, RBAC and compliance.

Good to Have:

Real-time streaming (Kafka, Event Hubs, Kinesis) and CDC.

Data mesh / data product concepts; BI tools (Power BI, Tableau).

Certifications: Snowflake SnowPro, Databricks, Azure/AWS/GCP Data or Solutions Architect.

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